Are you interested in combining the fields of Machine Learning and Computational Astrochemistry? In the respective groups of Assoc. Prof. Mie Andersen and Prof. Bjørk Hammer at Department of Physics and Astronomy and Center for Interstellar Catalysis, Aarhus University, we have an open post-doctoral position within these research topics. Applications should cover aspects relevant to grain surface chemistry in interstellar space.

Application:
See the full call and apply here.

Place of work:
Department of Physics and Astronomy, Aarhus University, Denmark.

Your profile:
Applicants must hold a PhD degree in physics, chemistry, nanoscience or equivalent. Previous experience with machine learning methods and/or first principles energy calculations in astrochemistry or physical chemistry is required. Experience with programming in python is highly desired.

What we offer:
The successful candidate will benefit from an inspiring international environment, collaborations with theoretical and experimental partners and a competitive salary.

Timeline:
The deadline to apply is March 15th 2023. The starting date is flexible. It could be around August 2023 plus/minus a few months. The duration of the employment is two years.

Contacts:
Applicants seeking further information for this project are invited to contact:
Assoc. Prof. Mie Andersen, [email protected]
Please use as e-mail subject: "postdoctoral position 22".

You can learn more about InterCat here, Mie Andersen’s group here and Bjørk Hammer’s group here.